{"id":"W3000114062","doi":"10.3390/biomedicines8010014","title":"Aptamer-Conjugated Tb(III)-Doped Silica Nanoparticles for Luminescent Detection of Leukemia Cells","year":2020,"lang":"en","type":"article","venue":"Biomedicines","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Conjugated system; Nanoparticle; Biosensor; Luminescence; Fluorescence; Chemistry; Nanotechnology; Covalent bond; Materials science; Biophysics; Combinatorial chemistry; Molecular biology; Organic chemistry; Polymer; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002288833,0.0003644683,0.0002467805,0.0003058104,0.0001459804,0.0001677404,0.0002312973,0.0004200005,0.000747151],"category_scores_gemma":[0.0001512469,0.0002530873,0.0002076117,0.0001854523,0.0002210892,0.0002477206,0.0001888432,0.0003264937,0.0004144986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746349,"about_ca_system_score_gemma":0.0002294371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000623648,"about_ca_topic_score_gemma":0.001137636,"domain_scores_codex":[0.9998498,0.0000237787,0.00001532806,0.00004400885,0.00004185476,0.0000251616],"domain_scores_gemma":[0.9999318,0.00001880092,0.00001298586,0.000007881025,0.00001523748,0.00001321148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000130432,0.000004620725,0.00003690763,0.00001667021,0.000001307748,0.00001050383,0.000006193175,0.00005393021,0.9992183,0.00002889915,0.00001350354,0.0005961639],"study_design_scores_gemma":[0.000005231353,0.00003820096,0.0002448171,0.000001811302,0.000004260664,0.00005750652,0.000003934743,0.001583323,0.9975821,0.00001473756,0.0004615626,0.000002518519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344813,0.002828685,0.05907587,0.0001838153,0.00006574163,0.0001072488,0.0001727352,0.0005249706,0.00255956],"genre_scores_gemma":[0.9625301,0.001174185,0.03279829,0.0001001474,0.00001633939,0.00008814444,0.0002381966,0.00003547307,0.003019237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000747151,"threshold_uncertainty_score":0.002718151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134899343457444,"score_gpt":0.2582277656549445,"score_spread":0.2447378313092001,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}